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https://issues.apache.org/jira/browse/SPARK-21166?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-21166.
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Resolution: Incomplete
> Automated ML persistence
> ------------------------
>
> Key: SPARK-21166
> URL: https://issues.apache.org/jira/browse/SPARK-21166
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.2.0
> Reporter: Joseph K. Bradley
> Priority: Major
> Labels: bulk-closed
>
> This JIRA is for discussing the possibility of automating ML persistence.
> Currently, custom save/load methods are written for every Model. However, we
> could design a mixin which provides automated persistence, inspecting model
> data and Params and reading/writing (known types) automatically. This was
> brought up in discussions with developers behind
> https://github.com/azure/mmlspark
> Some issues we will need to consider:
> * Providing generic mixin usable in most or all cases
> * Handling corner cases (strange Param types, etc.)
> * Backwards compatibility (loading models saved by old Spark versions)
> Because of backwards compatibility in particular, it may make sense to
> implement testing for that first, before we try to address automated
> persistence: [SPARK-15573]
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